def plot_all_rho(simlist):
"""Make the rho_HI plot with labels etc"""
#Cosmo0
for i in simlist: #xrange(8):
(zzz,dndx,omegadla) = get_rhohi_dndx(i)
plt.figure(1)
plt.plot(zzz,dndx, 'o', color=colors[i], ls=lss[i], label=labels[i])
plt.figure(2)
plt.plot(zzz,omegadla, 'o', color=colors[i], ls=lss[i],label=labels[i])
plt.figure(1)
plt.xlabel("z")
plt.ylabel(r"$dN / dX$")
dla_data.dndx_not()
dla_data.dndx_pro()
plt.xlim(2,4)
plt.ylim(0,0.13)
plt.legend(loc=4, ncol=3)
tight_layout_wrapper()
save_figure(path.join(outdir,"cosmo_dndx"))
plt.clf()
plt.figure(2)
plt.xlabel("z")
plt.ylabel(r"$10^3 \Omega_\mathrm{DLA}$")
dla_data.omegahi_not()
# dla_data.omegahi_pro()
plt.xlim(2,4)
plt.ylim(0,2.)
plt.legend(loc=4, ncol=3)
tight_layout_wrapper()
save_figure(path.join(outdir,"cosmo_rhohi"))
plt.clf()
def plot_halos(sim, hh):
"""Plot the halo closest in mass and position in the given sim to the halo of the given number in sim 7."""
ahalo = dp.PrettyHalo(myname.get_name(sim), 3, 20000)
ahalo7 = dp.PrettyHalo(myname.get_name(7), 3, 20000)
(mass, cofm, radii) = _load_halo(ahalo, 30)
(mass7, cofm7, _) = _load_halo(ahalo7, 30)
dist = np.sum((cofm7[hh] - cofm)**2, axis=1)
nn = np.where(dist == np.min(dist))
rhh = hh
hh = np.ravel(nn)[0]
print "Requested: ", rhh, "Got: ", hh, " dist:", np.sqrt(
dist[nn]), " r-mass:", mass[hh] / mass7[rhh], "ormass: ", mass7[rhh]
plt.title(r"Central Halo: $" +
dp.pr_num(ahalo.sub_mass[hh] / 0.72 / 1e11) +
r"\times 10^{11} M_\odot$")
ahalo.plot_pretty_halo(hh)
#Backwards because someone is a fortran programmer
circle = plt.Circle((0, 0), radii[hh], color="black", fill=False)
ax = plt.gca()
ax.add_artist(circle)
# plot_rvir(ahalo.sub_cofm[hh], cofm, radii,ahalo.sub_radii[hh])
dp.tight_layout_wrapper()
save_figure(path.join(outdir, "pretty_" + str(sim) + "_halo_" + str(rhh)))
plt.clf()
ahalo.plot_pretty_cut_halo(hh)
circle = plt.Circle((0, 0), radii[hh], color="black", fill=False)
ax = plt.gca()
ax.add_artist(circle)
# plot_rvir(ahalo.sub_cofm[hh], cofm, radii,ahalo.sub_radii[hh]/)
plt.title(labels[sim] + " at z=3")
dp.tight_layout_wrapper()
save_figure(
path.join(outdir, "pretty_cut_" + str(sim) + "_halo_" + str(rhh)))
plt.clf()
del ahalo
def plot_dndx_breakdown(sim):
"""Make the rho_HI plot with labels etc"""
halo = myname.get_name(sim, True, 25)
snaps = {4: 1, 3.5: 2, 3: 3, 2.5: 4, 2: 5}
fractions = []
zzz = []
omegadla = []
for zzzz in (4, 3.5, 3, 2.5, 2):
ahalo = dp.PrettyBox(halo, snaps[zzzz], nslice=10)
(massbins, fracs) = ahalo.get_omega_hi_mass_breakdown(False)
fractions.append(fracs)
zzz.append(zzzz)
omegadla.append(ahalo.line_density())
fractions = np.array(fractions)
for i in xrange(np.size(fractions[0, :]) - 2):
plt.plot(zzz,
fractions[:, i + 1],
color=colors[i],
ls=lss[i],
label=dp.pr_num(np.log10(massbins[i])) + " - " +
dp.pr_num(np.log10(massbins[i + 1])))
plt.plot(zzz, fractions[:, -1], color=colors[6], ls=lss[6], label="Field")
plt.plot(zzz, omegadla, color=colors[sim], ls=lss[sim], label="Total")
plt.xlabel("z")
plt.ylabel(r"$dN/dX$")
dla_data.dndx_not()
dla_data.dndx_pro()
plt.xlim(2, 4)
plt.ylim(0, 0.15)
plt.legend(loc=1, ncol=2)
tight_layout_wrapper()
save_figure(path.join(outdir, "cosmo_dndx_break" + str(sim)))
plt.clf()
def plot_H2_effect(sim, snap):
"""Load a simulation and plot its cddf"""
halo = myname.get_name(sim, True)
savefile = "boxhi_grid_noH2.hdf5"
ahalo = dp.PrettyBox(halo, snap, nslice=10, savefile=savefile, label=r"No $H_2$")
ahalo.plot_column_density(color="blue", ls="--", moment=True)
savefile = "boxhi_grid_H2.hdf5"
ahalo2 = dp.PrettyBox(halo, snap, nslice=10, savefile=savefile, label=r"$H_2$")
ahalo2.plot_column_density(color="red",moment=True)
# savefile = path.join(halo,"snapdir_"+str(snap).rjust(3,'0'),"boxhi_grid_H2-old.hdf5")
# ahalo2 = dp.PrettyBox(halo, snap, nslice=10, savefile=savefile)
# ahalo2.plot_column_density(color="green",moment=True)
dla_data.column_density_data(moment=True)
# dla_data.noterdaeme_12_data(path.join(path.dirname(__file__),"../dla_data"), moment=True)
plt.legend(loc=3)
plt.xlim(1e20,2e22)
plt.ylim(1e-5,0.1)
# plt.title("CDDF for "+labels[sim]+" at z="+str(redshifts[snap]))
save_figure(path.join(outdir, "cosmo"+str(sim)+"_H2_"+str(snap)))
plt.clf()
cddf_base = ahalo.column_density_function()
cddf = ahalo2.column_density_function()
plt.semilogx(cddf_base[0], np.log10(cddf[1]/cddf_base[1]), color=colors[sim], ls=lss[sim])
plt.ylim(-0.5,0.5)
tight_layout_wrapper()
ax = plt.gca()
ylab = ax.set_ylabel(r"$N_\mathrm{HI} f(N)$")
save_figure(path.join(outdir, "cosmo_rel"+str(sim)+"_H2_"+str(snap)))
plt.clf()
def plot_halos(sim,hh):
"""Plot the halo closest in mass and position in the given sim to the halo of the given number in sim 7."""
ahalo = dp.PrettyHalo(myname.get_name(sim),3,20000)
ahalo7 = dp.PrettyHalo(myname.get_name(7),3,20000)
(mass, cofm, radii) = _load_halo(ahalo, 30)
(mass7, cofm7, _) = _load_halo(ahalo7, 30)
dist = np.sum((cofm7[hh] - cofm)**2, axis=1)
nn = np.where( dist == np.min(dist))
rhh = hh
hh = np.ravel(nn)[0]
print "Requested: ",rhh,"Got: ",hh," dist:",np.sqrt(dist[nn])," r-mass:",mass[hh]/mass7[rhh], "ormass: ",mass7[rhh]
plt.title(r"Central Halo: $"+dp.pr_num(ahalo.sub_mass[hh]/0.72/1e11)+r"\times 10^{11} M_\odot$")
ahalo.plot_pretty_halo(hh)
#Backwards because someone is a fortran programmer
circle=plt.Circle((0,0),radii[hh],color="black",fill=False)
ax = plt.gca()
ax.add_artist(circle)
# plot_rvir(ahalo.sub_cofm[hh], cofm, radii,ahalo.sub_radii[hh])
dp.tight_layout_wrapper()
save_figure(path.join(outdir,"pretty_"+str(sim)+"_halo_"+str(rhh)))
plt.clf()
ahalo.plot_pretty_cut_halo(hh)
circle=plt.Circle((0,0),radii[hh],color="black",fill=False)
ax = plt.gca()
ax.add_artist(circle)
# plot_rvir(ahalo.sub_cofm[hh], cofm, radii,ahalo.sub_radii[hh]/)
plt.title(labels[sim]+" at z=3")
dp.tight_layout_wrapper()
save_figure(path.join(outdir,"pretty_cut_"+str(sim)+"_halo_"+str(rhh)))
plt.clf()
del ahalo
def plot_dndx_breakdown(sim):
"""Make the rho_HI plot with labels etc"""
halo = myname.get_name(sim, True, 25)
snaps = {4:1, 3.5:2, 3:3, 2.5:4, 2:5}
fractions=[]
zzz = []
omegadla = []
for zzzz in (4, 3.5, 3, 2.5, 2):
ahalo = dp.PrettyBox(halo, snaps[zzzz], nslice=10)
(massbins, fracs) = ahalo.get_omega_hi_mass_breakdown(False)
fractions.append(fracs)
zzz.append(zzzz)
omegadla.append(ahalo.line_density())
fractions = np.array(fractions)
for i in xrange(np.size(fractions[0,:])-2):
plt.plot(zzz,fractions[:,i+1], color=colors[i], ls=lss[i], label=dp.pr_num(np.log10(massbins[i]))+" - "+dp.pr_num(np.log10(massbins[i+1])))
plt.plot(zzz,fractions[:,-1], color=colors[6], ls=lss[6], label="Field")
plt.plot(zzz,omegadla, color=colors[sim], ls=lss[sim], label="Total")
plt.xlabel("z")
plt.ylabel(r"$dN/dX$")
dla_data.dndx_not()
dla_data.dndx_pro()
plt.xlim(2,4)
plt.ylim(0,0.15)
plt.legend(loc=1, ncol=2)
tight_layout_wrapper()
save_figure(path.join(outdir,"cosmo_dndx_break"+str(sim)))
plt.clf()
def plot_rel_cddf(snap):
"""Load and make a plot of the difference between two simulations"""
basen = myname.get_name(7)
base = dp.PrettyBox(basen, snap, nslice=10)
cddf_base = base.column_density_function()
for xx in (0,4,2,1,3,9):
halo2 = myname.get_name(xx)
ahalo2 = dp.PrettyBox(halo2, snap, nslice=10)
cddf = ahalo2.column_density_function()
plt.semilogx(cddf_base[0], cddf[1]/cddf_base[1], color=colors[xx], ls=lss[xx], label=labels[xx])
plt.legend(loc=3, ncol=2)
plt.xlabel(r"$N_\mathrm{HI}$ (cm$^{-2}$)")
plt.ylabel(r"$f(N)/f_\mathrm{"+labels[7]+"}(N)$")
plt.title("CDDF relative to "+labels[7]+" at z="+str(redshifts[snap]))
plt.ylim(-0.2,1.8)
plt.xlim(1e17, 1e22)
tight_layout_wrapper()
save_figure(path.join(outdir,"cosmo_rel_cddf_z"+str(snap)))
plt.clf()
def plot_H2_effect(sim, snap):
"""Load a simulation and plot its cddf"""
halo = myname.get_name(sim, True)
savefile = "boxhi_grid_noH2.hdf5"
ahalo = dp.PrettyBox(halo,
snap,
nslice=10,
savefile=savefile,
label=r"No $H_2$")
ahalo.plot_column_density(color="blue", ls="--", moment=True)
savefile = "boxhi_grid_H2.hdf5"
ahalo2 = dp.PrettyBox(halo,
snap,
nslice=10,
savefile=savefile,
label=r"$H_2$")
ahalo2.plot_column_density(color="red", moment=True)
# savefile = path.join(halo,"snapdir_"+str(snap).rjust(3,'0'),"boxhi_grid_H2-old.hdf5")
# ahalo2 = dp.PrettyBox(halo, snap, nslice=10, savefile=savefile)
# ahalo2.plot_column_density(color="green",moment=True)
dla_data.column_density_data(moment=True)
# dla_data.noterdaeme_12_data(path.join(path.dirname(__file__),"../dla_data"), moment=True)
plt.legend(loc=3)
plt.xlim(1e20, 2e22)
plt.ylim(1e-5, 0.1)
# plt.title("CDDF for "+labels[sim]+" at z="+str(redshifts[snap]))
save_figure(path.join(outdir, "cosmo" + str(sim) + "_H2_" + str(snap)))
plt.clf()
cddf_base = ahalo.column_density_function()
cddf = ahalo2.column_density_function()
plt.semilogx(cddf_base[0],
np.log10(cddf[1] / cddf_base[1]),
color=colors[sim],
ls=lss[sim])
plt.ylim(-0.5, 0.5)
tight_layout_wrapper()
ax = plt.gca()
ylab = ax.set_ylabel(r"$N_\mathrm{HI} f(N)$")
save_figure(path.join(outdir, "cosmo_rel" + str(sim) + "_H2_" + str(snap)))
plt.clf()
def plot_all_rho(simlist):
"""Make the rho_HI plot with labels etc"""
#Cosmo0
for i in simlist: #xrange(8):
(zzz, dndx, omegadla) = get_rhohi_dndx(i)
plt.figure(1)
plt.plot(zzz, dndx, 'o', color=colors[i], ls=lss[i], label=labels[i])
plt.figure(2)
plt.plot(zzz,
omegadla,
'o',
color=colors[i],
ls=lss[i],
label=labels[i])
plt.figure(1)
plt.xlabel("z")
plt.ylabel(r"$dN / dX$")
dla_data.dndx_not()
dla_data.dndx_pro()
plt.xlim(2, 4)
plt.ylim(0, 0.13)
plt.legend(loc=4, ncol=3)
tight_layout_wrapper()
save_figure(path.join(outdir, "cosmo_dndx"))
plt.clf()
plt.figure(2)
plt.xlabel("z")
plt.ylabel(r"$10^3 \Omega_\mathrm{DLA}$")
dla_data.omegahi_not()
# dla_data.omegahi_pro()
plt.xlim(2, 4)
plt.ylim(0, 2.)
plt.legend(loc=4, ncol=3)
tight_layout_wrapper()
save_figure(path.join(outdir, "cosmo_rhohi"))
plt.clf()
def plot_rel_cddf(snap):
"""Load and make a plot of the difference between two simulations"""
basen = myname.get_name(7)
base = dp.PrettyBox(basen, snap, nslice=10)
cddf_base = base.column_density_function()
for xx in (0, 4, 2, 1, 3, 9):
halo2 = myname.get_name(xx)
ahalo2 = dp.PrettyBox(halo2, snap, nslice=10)
cddf = ahalo2.column_density_function()
plt.semilogx(cddf_base[0],
cddf[1] / cddf_base[1],
color=colors[xx],
ls=lss[xx],
label=labels[xx])
plt.legend(loc=3, ncol=2)
plt.xlabel(r"$N_\mathrm{HI}$ (cm$^{-2}$)")
plt.ylabel(r"$f(N)/f_\mathrm{" + labels[7] + "}(N)$")
plt.title("CDDF relative to " + labels[7] + " at z=" +
str(redshifts[snap]))
plt.ylim(-0.2, 1.8)
plt.xlim(1e17, 1e22)
tight_layout_wrapper()
save_figure(path.join(outdir, "cosmo_rel_cddf_z" + str(snap)))
plt.clf()
plot_cddf_a_halo(ss, zz, moment=True)
if zz == 3:
dla_data.column_density_data(moment=True)
if zz == 4:
dla_data.noterdaeme_12_data(path.join(path.dirname(__file__),
"../dla_data"),
moment=True)
plt.xlim(1e20, 5e22)
plt.ylim(ymax=0.1)
# dla_data.zafar_data(path.join(path.dirname(__file__),"../dla_data"), moment=True)
plt.legend(loc=3)
ax = plt.gca()
ylab = ax.set_ylabel(r"$N_\mathrm{HI} f(N)$")
tight_layout_wrapper()
save_figure(path.join(outdir, "cosmo_cddf_z" + str(zz) + "_moment"))
plt.clf()
for zz in (1, 3, 5):
plot_rel_cddf(zz)
plot_halohist(zz)
# multi_halohist(zz)
# plot_halohist(zz, False)
#Make a plot of the effect of AGN on the cddf.
for ss in (2, 1):
plot_cddf_a_halo(ss, 4, moment=True)
for ss in (0, 4):
plot_cddf_a_halo(ss, 4, moment=True)
plt.legend(loc=3)
plt.figure(1)
# Load only the nHI grids
hplots = dp.HaloHIPlots(base, snapnum, minpart=minpart)
if len(sys.argv) < 2 or int(sys.argv[1]) == 2:
# low-mass halo radial profile
hplots.plot_radial_profile(minM=3e9, maxM=3.5e9, maxR=10.0)
plt.ylim(ymax=27)
save_figure(path.join(outdir, "radial_profile_halo_low_" + str(snapnum)))
plt.clf()
hplots.ahalo.plot_pretty_halo(0)
plt.title(r"Arepo, $\mathrm{z}=" + dp.pr_num(hplots.ahalo.redshift, 1) + "$")
dp.tight_layout_wrapper()
save_figure(path.join(outdir, "Arepo_" + str(snapnum) + "pretty_halo"))
plt.clf()
# Get the right halo
g_halo_0 = hplots.ghalo.identify_eq_halo(hplots.ahalo.sub_mass[0], hplots.ahalo.sub_cofm[0, :], maxpos=50.0)[0]
try:
a_shalo = np.min(np.where(hplots.ahalo.sub_mass < 1e10))
# Get the right halo for a smaller halo
s_mass = hplots.ahalo.sub_mass[a_shalo]
s_pos = hplots.ahalo.sub_cofm[a_shalo, :]
g_shalo = hplots.ghalo.identify_eq_halo(s_mass, s_pos)
# Make sure it has a gadget counterpart
if np.size(g_shalo) == 0:
nosmall = 1
for i in np.where(hplots.ahalo.sub_mass < 1e10)[0]:
s_mass = hplots.ahalo.sub_mass[i]
plot_cddf_a_halo(3, 3, moment=True)
else:
plot_cddf_a_halo(ss, zz,moment=True)
if zz==3 :
dla_data.column_density_data(moment=True)
if zz == 4:
dla_data.noterdaeme_12_data(path.join(path.dirname(__file__),"../dla_data"), moment=True)
plt.xlim(1e20,5e22)
plt.ylim(ymax=0.1)
# dla_data.zafar_data(path.join(path.dirname(__file__),"../dla_data"), moment=True)
plt.legend(loc=3)
ax = plt.gca()
ylab = ax.set_ylabel(r"$N_\mathrm{HI} f(N)$")
tight_layout_wrapper()
save_figure(path.join(outdir,"cosmo_cddf_z"+str(zz)+"_moment"))
plt.clf()
for zz in (1,3,5):
plot_rel_cddf(zz)
plot_halohist(zz)
# multi_halohist(zz)
# plot_halohist(zz, False)
#Make a plot of the effect of AGN on the cddf.
for ss in (2,1):
plot_cddf_a_halo(ss, 4, moment=True)
for ss in (0,4):
plot_cddf_a_halo(ss, 4, moment=True)
plt.legend(loc=3)
plt.figure(1)
#Load only the nHI grids
hplots=dp.HaloHIPlots(base,snapnum,minpart=minpart)
if len(sys.argv) < 2 or int(sys.argv[1]) == 2:
#low-mass halo radial profile
hplots.plot_radial_profile(minM=3e9, maxM=3.5e9,maxR=10.)
plt.ylim(ymax = 27)
save_figure(path.join(outdir,"radial_profile_halo_low_"+str(snapnum)))
plt.clf()
hplots.ahalo.plot_pretty_halo(0)
plt.title(r"Arepo, $\mathrm{z}="+dp.pr_num(hplots.ahalo.redshift,1)+"$")
dp.tight_layout_wrapper()
save_figure(path.join(outdir,"Arepo_"+str(snapnum)+"pretty_halo"))
plt.clf()
#Get the right halo
g_halo_0 = hplots.ghalo.identify_eq_halo(hplots.ahalo.sub_mass[0],hplots.ahalo.sub_cofm[0,:],maxpos=50.)[0]
try:
a_shalo=np.min(np.where(hplots.ahalo.sub_mass < 1e10))
#Get the right halo for a smaller halo
s_mass=hplots.ahalo.sub_mass[a_shalo]
s_pos=hplots.ahalo.sub_cofm[a_shalo,:]
g_shalo = hplots.ghalo.identify_eq_halo(s_mass,s_pos)
#Make sure it has a gadget counterpart
if np.size(g_shalo) == 0:
nosmall=1
for i in np.where(hplots.ahalo.sub_mass < 1e10)[0]:
s_mass=hplots.ahalo.sub_mass[i]
